(This article was first published on Revolutions, and kindly contributed to R-bloggers)
Starting on March 5 at the Hacker Dojo in Mountain View (CA), Mike Bowles and Patricia Hoffmann will present a course on Machine Learning where R will be the "lingua franca" for looking at homework problems, discussing them and comparing different solution approaches. The class will begin at the level of elementary probability and statistics and from that background survey a broad array of machine learning techniques including: Unsupervised Learning, Clustering Techniques, and Fault Detection.
More details and registration info at the link below.
EventBrite: Machine Learning 102
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
